1481 results about "Green building" patented technology

The invention relates to the technical field of intelligent building energy-saving control, and discloses a green building equipment intelligent energy-saving control method and system based on artificial intelligence, and the method comprises the steps: collecting building environment data, and carrying out the preprocessing; and simulating the energy consumption of the building equipment by using the digital twin model, and training the baseline neural network model to obtain an initial control strategy. And adopting a genetic algorithm to optimize hyper-parameters of the baseline model, and generating a plurality of candidate energy-saving control strategies. And inputting the optimized strategy into the deep reinforcement learning model, carrying out strategy iteration, calculating the energy-saving efficiency and comfort score after each iteration, screening the optimal strategy through a reward mechanism, and improving the accuracy of energy consumption prediction of the building equipment. The hyper-parameter of the neural network is optimized by using the genetic algorithm, and the intelligent degree of the energy-saving control strategy is improved. On the basis of deep reinforcement learning, the intelligent agent can adaptively adjust an energy-saving strategy under different environmental conditions, and the user comfort is guaranteed while the optimal building energy consumption is ensured.

The invention discloses a green building intelligent lighting and energy collaborative optimization system based on multi-source data fusion. According to the system, firstly, multi-source information such as indoor and outdoor illumination, weather, personnel occupation and electricity price is subjected to weighted fusion through dynamic confidence, and an accurate real-time environment state is constructed; then, model predictive control is combined with a multi-objective optimization strategy, and a sunshade device, intelligent lighting and a heating ventilation air conditioner are cooperatively adjusted, so that the comprehensive energy consumption or operation cost is minimized on the premise that the indoor illumination and temperature comfort requirements are met; besides, the self-adaptive module continuously learns and adjusts the thermal characteristics and the use mode of the building through online model parameter correction and occupancy probability prediction, and it is ensured that the energy-saving effect is stable for a long time; the system drives each execution device through a standard building self-control interface, is easy to integrate in a newly built or reformed project, and can significantly improve the energy utilization efficiency and the indoor environment quality.

The invention discloses an intelligent welding forming method and system for a green building steel heating radiator, and the method comprises the following steps: carrying out the surface defect recognition of a steel heating radiator base material based on an AI visual inspection system, recognizing a qualified base material, and automatically matching the type of a welding material from a material database according to the material and thickness parameters of the qualified base material. Welding parameters are intelligently matched through AI visual inspection and a neural network model, a laser and friction stir hybrid welding process is combined, traditional manual operation is replaced, the welding efficiency and precision are improved, and the problems of uneven welding seams and the like are solved; welding data are analyzed in real time through a multi-mode AI model, parameters are dynamically adjusted, intelligent defect recognition and repair welding are achieved in cooperation with 3D visual inspection, and the quality stability is improved through whole-process monitoring; smoke dust is treated through an environment-friendly process, acid pickling is replaced with mechanical rust removal, efficient recycling of materials is achieved through waste recycling, a green manufacturing system is constructed, and the sustainable development requirement of green buildings is met.

The invention discloses a green building microclimate regulation emission reduction and convergence increase method based on park biodiversity, and the method comprises the steps: obtaining biodiversity data and building environment parameters, constructing a three-dimensional ecological space digital twinborn model, and carrying out the multi-physics coupling analysis; loading boundary conditions to generate a comprehensive model, then carrying out microclimate dynamic simulation, training an ecological regulation model to generate initial regulation parameters, constructing a multi-objective optimization model in combination with dynamic regulation simulation information and building design parameters to obtain optimal parameters, and finally adjusting a regulation strategy based on real-time prediction. According to the method, by integrating biodiversity and building environment data and utilizing digital twinning, multi-field coupling simulation and intelligent optimization algorithms, collaborative optimization of microclimate adjustment, carbon emission reduction and carbon sink capacity improvement is achieved, a technical scheme is provided for deep fusion of green buildings and ecological systems, and the method is suitable for popularization and application. The method is suitable for the fields of urban building energy conservation and ecological environment protection.

The invention relates to the technical field of green building energy consumption, and discloses a green building energy consumption real-time monitoring and intelligent adjusting system based on the Internet of Things, and the system comprises an Internet of Things multi-source sensing module which integrates a building internal and external environment sensing unit and an equipment operation state collection unit, and generates a comprehensive energy consumption characteristic signal through a heterogeneous data fusion gateway; the dual-channel decision module receives the signal, the load prediction unit outputs a building cooling and heating load prediction signal and a regional energy efficiency imbalance risk signal, the energy efficiency optimization unit generates an optimal equipment adjustment strategy signal, and the dynamic adjustment unit outputs a real-time energy consumption safety threshold; the intelligent execution control module and the self-adaptive equipment regulation and control unit adjust heating and ventilation equipment parameters, the multi-equipment collaborative management unit optimizes the running state of the lighting and air conditioning equipment group and collects feedback signals, and the man-machine interaction early warning platform generates a comprehensive energy efficiency risk index. According to the system, real-time monitoring and intelligent adjustment of energy consumption of the green building are realized, and refinement and collaboration of energy consumption management are improved.

The invention relates to the technical field of green intelligent digital construction, and discloses a green building digital collaborative design and optimization method based on BIM and cloud computing, comprising the following steps: S1, project initialization and data collection, S2, preliminary design and simulation based on BIM, S3, sensor equipment layout and optimization, S4, fault detection and early warning processing, and S5, cloud computing. According to the method, a green intelligent digital construction key process technology is adopted, energy conservation and emission reduction benefits and environment quality improvement benefits generated in the whole life period of a green building technology can be improved, and digital intelligent technologies such as BIM, 5G, IoT, BMS and EMS are adopted, so that the construction period is shortened, and the construction efficiency is improved. Visualization and perceptibility of energy conservation and emission reduction benefits and environment quality improvement benefits generated in the whole life period of the green building technology can be achieved, and economic benefits are generated from the energy conservation and emission reduction benefits generated by the green building technology in a carbon trading mode.

The invention relates to the technical field of comprehensive utilization of solid waste materials, and particularly provides a circulating fluidized bed ash-based all-solid waste cementing material and a preparation method thereof. The cementing material is prepared from the following components in parts by mass: 25 to 55 parts of granulated blast furnace slag, 5 to 25 parts of CFB fly ash and 25 to 65 parts of CFB slag, an exciting agent accounting for 0-5% of the basic component is doped; the specific surface area of the cementing material is not less than 600m < 2 > / kg. Through solid waste compounding, physical grinding and chemical excitation, it is ensured that the solid waste cementing material has high cementing activity and strength; the main raw materials are industrial solid wastes, and the product can replace cement to be used for preparing concrete, prefabricated parts and the like, so that the utilization rate of the solid wastes is increased, the ecological environment problem caused by stockpiling is reduced, and the requirement of green building development in the future is met.

The invention relates to an intelligent generation method, system and device for a passive design scheme of a green building and a medium. The method comprises the following steps: firstly, collecting site limitation data and climate data, inputting the data into a thermal performance simulation model, and outputting building heat loss and solar heat gain distribution; based on the result, a genetic algorithm is used for optimizing parameters such as the building orientation and the window-wall ratio, and a building design parameter combination is formed through energy consumption calculation, standard judgment and iterative optimization. Then, thermal and economic parameters are extracted from the design parameters to construct a data set, the parameters are screened to generate a building layout optimization instruction, and the layout is adjusted in combination with a dynamic adaptation standard to obtain an optimization scheme. And finally, associating the optimized layout with site parameters, performing energy model optimization to form a low-carbon scheme, and coupling environment adaptability data to generate a sustainable development scheme. By means of the method, the problems that traditional design parameter optimization is low in efficiency and multiple targets are difficult to balance can be solved, layout reasonability and energy consumption control precision are improved, and low carbon of the whole life cycle of the building is assisted.

The application provides a glass curtain wall construction device based on green building, and relates to the technical field of building construction. The glass curtain wall construction device is arranged on a basket to move the glass. The glass curtain wall construction device comprises a mobile lifting support unit arranged on the basket, a sliding rod horizontally sliding and rotationally connected to the mobile lifting support unit, a horizontal driving part with a driving end connected to the sliding rod to drive the sliding rod to rotate, and a fixing assembly rotationally connected to one end of the sliding rod, wherein the fixing assembly comprises a suction cup pressing on the glass. The application also provides a construction method of the glass curtain wall construction device based on green building. The application can help the workers to relatively quickly move the glass from indoors to outdoors and complete the installation, thereby improving the problem that the workers have to exert a large amount of physical strength when installing the glass in the prior art, and the workers on the outer wall are inconvenient to exert force.

The invention discloses flame-retardant green concrete added with expandable graphite and a preparation method of the flame-retardant green concrete, and relates to the technical field of fireproof materials. The expansible graphite cement comprises the following components: cement, aggregate, expansible graphite and water, the mass ratio of the water to the cement is (0.4-0.5): 1, and the addition proportion of the expansible graphite is 1%-10% of the total weight of the cement. According to the expansible graphite flame-retardant concrete provided by the invention, the special material expansible graphite is utilized, the fireproof performance and the heat insulation performance of the concrete can be remarkably improved, and the expansible graphite forms a heat insulation layer through expansion in a high-temperature environment, so that concrete cracking or structural damage caused by a fire disaster is effectively prevented; and the fire resistance and the safety of the building structure are obviously improved. The simple and economical production process is designed, the proportion of the expansible graphite to other raw materials is properly adjusted, so that the production process of the concrete is environment-friendly and efficient, meanwhile, the production cost is effectively reduced, the requirements of modern green buildings are met, and wide application prospects are achieved.

The invention relates to a large-scale language model-based solid waste cementing material intelligent design and performance prediction system, and relates to the technical field of material science and artificial intelligence, the system integrates multi-source heterogeneous data through a multi-task data set construction module, and establishes association mapping of a solid waste material formula and performance; the performance prediction module based on the large-scale language model realizes high-precision cross-modal prediction of key indexes such as compressive strength and permeability; the reverse design module generates a formula scheme conforming to chemical components and industrial constraints through dynamic embedding of material scientific rules and reinforcement learning multi-objective optimization, and forms a closed loop verification link based on physical rule verification and an experimental feedback mechanism. The research and development efficiency of the solid waste cementing material is remarkably improved, the trial and error cost and resource waste are effectively reduced, rapid conversion of laboratory achievements to industrial production is promoted, and intelligent technical support is provided for solid waste resource utilization and green building material development.

The invention discloses a high-content fly ash unfired water permeable brick and a preparation method thereof, and relates to the technical field of building materials, the unfired water permeable brick comprises the following raw materials by weight: 55-75 parts of fly ash, 20-35 parts of aggregate, 8-15 parts of a composite cementing material, 0.5-2 parts of toughening fiber, 1-3 parts of a pore regulator, 0.1-0.5 part of a surfactant, and 10-18 parts of water. Wherein the aggregate is 1-3mm waste ceramic particles and 2-5mm building recycled aggregate (1: 1-1: 2); and the rest components have specific proportions, specifications and modification requirements. According to the invention, 55-75 parts of F-type II-grade or higher high-content fly ash is matched with the waste ceramic particles and the pretreated building recycled aggregate to serve as the composite aggregate, solid waste is digested, natural resource dependence is reduced, and the method conforms to the direction of green building materials; by means of a modified composite fiber and composite gel system, the pressure resistance is larger than or equal to 25 MPa, the fracture resistance is larger than or equal to 3.5 MPa, the water permeability is larger than or equal to 1.5 * 10 cm / s, the freeze-thaw loss is smaller than or equal to 3.5%, and the grinding pit is smaller than or equal to 30 mm; through graded mixing, bidirectional pressurization and segmented maintenance, the porosity is kept to be 15%-25%, the percent of pass is increased, and the cost is reduced.

The invention discloses a foundation pit drainage device for a green building, and relates to the technical field of foundation pit drainage, the foundation pit drainage device comprises a vehicle body, a water suction pump is fixedly mounted on one side of the top of the vehicle body, the water outlet end of the water suction pump is connected with a drainage pipe in a penetrating manner, and the water pumping end of the water suction pump is connected with a water pumping pipe in a penetrating manner; the floating plate is fixedly installed on the side, away from the water suction pump, of the exterior of the water suction pipe, the supporting assembly is arranged on the side, away from the water suction pump, of the exterior of the water suction pipe and comprises a telescopic rod and a filtering assembly, and the telescopic rod is arranged on one side above the floating plate; the inner wall of the foundation pit can be supported when water pumping and drainage are conducted on the foundation pit, water pumping work can be slowed down or stopped once collapse occurs in the foundation pit, it is avoided that water pumping continues, the supporting force of the inner wall of the foundation pit is reduced, consequently, larger collapse is caused, follow-up use of the foundation pit is not affected, and practicability is improved.

The invention discloses a project quality detection method and system based on green building design, and relates to the technical field of project quality detection. The engineering quality detection method and system based on the green building design comprises the steps that S1, BIM structured data, real-time monitoring data, structure acceptance data and construction event and window data are preprocessed; s2, on the basis of BIM structured data and in combination with a BIM model, the qualification state of the component and the quality grade of the partition are judged; s3, identifying a working condition switching anchor point and an event, and performing segmented division of a working condition process; s4, feature clustering and performance state discrimination are carried out, different working condition types are identified, and tagging management is carried out; s5, identifying dominant factors and performing attribution assignment through multi-dimensional label attribution and traceability judgment; and S6, performing grade judgment and grade response through multi-source time sequence item-by-item difference analysis. The problems of state interval disjunction and difficulty in accurate attribution and stable diagnosis caused by space-time mismatching of construction progress, BIM nodes and energy consumption environment data and data asynchronization are solved.

The invention belongs to the technical field of building construction, and discloses a green building intelligent construction platform which comprises a construction platform body and further comprises first intercepting assemblies symmetrically arranged on the two sides of the construction platform body; the second intercepting assembly is movably connected to one side of the construction platform; through cooperation of structures such as a first intercepting assembly and a second intercepting assembly, objects are prevented from falling off from the high altitude, when a U-shaped plate moves, the objects can slide along the track of an arc groove, so that a first rotating shaft drives a first baffle to overturn in the direction away from the construction platform, and through meshing connection of a second bevel gear and a first bevel gear, the objects can be intercepted from the high altitude. Therefore, the two first baffles and the second rotating shaft form an inclined blocking face on the periphery of the device, and therefore the situation that articles directly fall to the ground from the high altitude, and people and objects below are injured can be effectively avoided.

The invention discloses an all-solid-waste negative-carbon porous brick and a preparation method thereof, belongs to the technical field of green building materials for solid waste recycling and CO2 capture-storage-utilization, and particularly relates to a porous brick which takes red mud, steel slag and recycled aggregate as main raw materials, constructs a hierarchical pore structure through low-water-binder-ratio semi-dry pressing molding, and is prepared from the following raw materials in a solid-solid-waste negative-carbon porous brick. And directional carbonization curing is carried out by using cement kiln tail gas CO2 under the conditions of normal temperature and micro pressure, so that the national waste porous brick with negative carbon characteristic is prepared. According to the method, solid waste high doping, CO2 efficient solid storage and product performance synergistic improvement can be achieved.

The invention provides a green building exterior wall coating with a heat insulation function and a preparation process thereof. The method comprises the following steps: S1, determining raw material formula parameters; s2, pre-dispersing the raw materials; s3, carrying out grinding treatment on the pre-dispersed slurry; s4, mixing and blending the coating; s5, performing performance detection; and S6, packaging the qualified finished coating. Aiming at the core requirements of high heat insulation, low pollution and easy construction of the green building wall paint, the invention constructs a set of full-process preparation process integrating a multi-objective optimization algorithm and real-time feedback control, and finally realizes collaborative optimization of paint performance and production efficiency through scientific design of a raw material formula and precise control of production links.

The invention belongs to the technical field of building materials, and particularly relates to a preparation method of a biomass reinforced cement-based thermal insulation wall material and the wall material. The preparation method comprises the following steps: (1) crushing wood fibers, putting the crushed wood fibers into a NaOH solution, washing with water and drying; (2) carrying out dry mixing on cement, the modified wood fiber, nano SiO2 particles and calcium stearate; (3) diluting hydrogen peroxide with warm water, adding into the mixture, and stirring; (4) injecting the foaming slurry into a mold, and vibrating; and (5) steam curing. Through a collaborative technology of fiber surface modification, nano-particle regulation and control and hydrophobic layer construction, the comprehensive performance breakthrough of the fireproofing grade of A1 grade, the heat conductivity coefficient of 0.048-0.055 W / (m.K) and the compressive strength of 1.2-1.8 MPa is realized. The energy consumption is reduced by 70% through the low-temperature steam curing process, the proportion of agricultural waste is larger than or equal to 30%, the carbon emission intensity is smaller than or equal to 150 kgCO2 / m < 3 >, and the requirement for green buildings is met.

The invention discloses a photovoltaic panel for a green building outer wall, which is characterized in that the photovoltaic panel is connected with the surface of the building outer wall through a positioning frame, a plurality of photovoltaic panels are connected through a splicing assembly, the splicing assembly comprises a connecting seat, a plug body, an unlocking deflector rod and a spring pull rod, and the stable splicing among the photovoltaic panels is ensured through the combined action of the parts; and flexible disassembly and maintenance functions are provided. According to the invention, rapid electrical connection between the photovoltaic panels is realized through the rapid connection sockets, and networking and expansion of a photovoltaic power grid are facilitated. A windproof and shockproof structure in the design ensures that the system is kept stable in natural disasters such as extreme weather and earthquakes, and the service life of the photovoltaic panel is prolonged. The photovoltaic panel for the green building outer wall has the advantages of being fast to install, efficient in networking, high in wind resistance and shock resistance and convenient to maintain and disassemble.

The utility model belongs to the field of curtain wall decoration, and relates to an assembly type telescopic partition wall plugging system between a glass curtain wall and an inner partition wall, which comprises a concrete partition wall, a stand column, and a partition wall plugging system and a plugging clamping system which are arranged between the concrete partition wall and the stand column, the partition wall plugging system comprises two partition wall section bars, and a buckle smoothing mechanism used for stretching and retracting is arranged at the connecting position of the two partition wall section bars. The blocking and clamping system comprises buckle bases fixed to the concrete partition wall and the stand column correspondingly, and the ends, away from the buckle smoothing mechanism, of the two partition wall sectional materials are assembled with the two buckle bases in a clamped mode correspondingly. The energy-saving curtain wall is simple in structure and easy to construct, the cost of later maintenance is greatly saved, the performance of the curtain wall in the aspect of green building energy conservation is ensured to the maximum extent, and the use energy consumption of a building is reduced.

The invention discloses a solid waste-based low-carbon gel material and a preparation method thereof. The material comprises the following components in percentage by mass: 40%-60% of high-activity slag, 20%-35% of tower bottom ash subjected to stage treatment, 3%-8% of a pH sensitive composite exciting agent, 0.5%-2% of nano C-S-H seed crystal, 0.1%-1% of modified cellulose nanocrystals and 15%-25% of water, and the water-solid ratio is controlled to be 0.15-0.28. The preparation method comprises the steps of tower bottom ash grading pretreatment, nano C-S-H seed crystal preparation and dispersion, pH sensitive composite exciting agent preparation, mixing and slurry preparation. Sulfate release is optimized through staged treatment, alkalinity is dynamically regulated and controlled through a pH sensitive exciting agent, ordered hydration and a multi-stage pore structure are induced through nano C-S-H seed crystals and modified cellulose nanocrystals, and the compressive strength, the impermeability and the low expansion rate are remarkably improved. Industrial solid waste is effectively utilized, energy consumption and carbon emission are reduced, the problems of non-uniform hydration and expansion cracking are solved, and the method is suitable for the fields of green buildings and resource recycling.

The invention relates to the technical field of green building materials, in particular to phase-change energy-storage thermal insulation mortar and a preparation method of the phase-change energy-storage thermal insulation mortar. 25 to 40 parts of methyl palmitate; 120 to 180 parts of hydrophobic perlite; 8 to 15 parts of expanded graphite; 3-6 parts of phosphorus sheet-shaped aluminum nitride; 180 to 250 parts of sulphoaluminate cement; 60 to 100 parts of volcanic rock micro powder; 0.3 to 0.8 part of hydroxypropyl methyl cellulose; 0.6 to 1.2 parts of a polycarboxylic acid water reducing agent; 2 to 4 parts of nano aluminum oxide; 0.8 to 1.5 parts of propyl gallate; and 1-2 parts of zinc borate. Through the proportion design of the antioxidant flame-retardant microcapsules and the lightweight composite aggregate, the problems of poor thermal conductivity and insufficient durability of a traditional phase change material are solved. Through phase change material loading, interface modification and multi-component cooperative regulation, the thermal insulation performance, energy storage efficiency and structural stability are remarkably improved, and the material is suitable for the fields of building energy saving, intelligent temperature control and the like.

The invention relates to the technical field of green building construction, and discloses a concrete outer wall and green low-energy-consumption thermal insulation wall construction method which comprises the following steps that firstly, based on the heat conduction characteristic of a wall body, the thickness and the heat conduction coefficient of a thermal insulation layer are optimally designed through heat conduction analysis, so that the total heat loss of the wall body is reduced; 2, according to the mechanical equilibrium condition of the wall, stress distribution and a displacement field of the wall are determined through finite element analysis, and it is ensured that the structural strength of the constructed wall meets the design requirement; and 3, combining a multi-objective optimization theory, comprehensively considering the heat conduction performance, the mechanical stability and the construction cost of the wall body, and dynamically optimizing construction parameters. According to the construction parameter dynamic adjustment technology based on the multi-objective optimization theory, multiple constraint conditions such as heat loss, mechanical properties and construction cost are comprehensively considered, and the technical effect of achieving overall performance balance in the complex construction environment is achieved.

The invention relates to the technical field of building energy conservation and carbon emission, in particular to a building full-life-period carbon emission calculation method based on running carbon and implicit carbon, and the method specifically comprises the following steps: building carbon emission calculation models of a reference building and a design building; the whole life period of the building is divided into running carbon and implicit carbon; constructing a three-level index system, namely a total amount index, a strength index and a relative index; respectively calculating the emissions of operating carbon and implicit carbon of the two carbon emission calculation models; respectively carrying out carbon reduction calculation on the two carbon emission calculation models; calculating a total carbon emission amount index and an intensity index of the two carbon emission models, and further calculating a relative index; and judging whether the carbon emission of the designed building reaches the standard or not according to the third-level index result, and if not, readjusting. According to the method, a building full-life-period carbon emission calculation model containing running carbon and implicit carbon is constructed, the calculation precision is improved in combination with a three-level index system, and design optimization of zero-carbon buildings and green buildings can be assisted.

The invention discloses a multivariate data access and fusion resident community energy metering device, and the device comprises a data collection module which is used for collecting multi-energy data in a resident community through a plurality of communication interfaces, the energy comprises electricity, water, gas and heat, and the communication interfaces support RS485, NB-IoT, LoRa, Zigbee and Wi-Fi; an edge calculation module connected with the data acquisition module and used for preprocessing the acquired multi-energy data, including data format standardization, time sequence reconstruction and preliminary anomaly detection; the data fusion module is connected with the edge calculation module and is used for performing multi-dimensional modeling and data fusion on the multi-energy data based on a deep learning algorithm; compatible access of multi-energy equipment such as electricity, water, gas and heat is realized through modular design, real-time processing, intelligent analysis and user-friendly interaction of energy data are realized by adopting edge computing and deep learning technologies, and technical support is provided for development of smart communities and green buildings.

The invention relates to an ancient building green repair cost optimization method combined with carbon footprint analysis, and relates to the technical field of green buildings, and the method comprises the steps: obtaining the structural damage and functional decline problems of a to-be-repaired ancient building; based on the structural damage and functional decline problems of the to-be-repaired ancient building, a repair project of the to-be-repaired ancient building is determined; based on the repair project of the to-be-repaired ancient building, determining multiple repair schemes of the to-be-repaired ancient building; for each repairing scheme, determining a production carbon emission factor, a transportation carbon emission factor and a carbon emission factor of construction energy of each repairing material of the repairing scheme, and determining the carbon emission factor of the construction energy based on the production carbon emission factor, the transportation carbon emission factor and the carbon emission factor of the construction energy of each repairing material of the repairing scheme; performing carbon footprint analysis on the repairing scheme, and calculating the total carbon emission of the repairing scheme; the optimal repairing scheme is determined based on the total carbon emission of the repairing scheme, and the method has the advantage of reducing the carbon emission of ancient building repairing.

The invention discloses lightweight low-carbon thermal insulation mortar, which is characterized by being prepared from the following ingredients in parts by weight: 100 to 160 parts of quick lime, 250 to 350 parts of phosphogypsum, 300 to 450 parts of mineral powder, 350 to 550 parts of coal gangue pottery sand, 60 to 100 parts of polystyrene foam particles, 70 to 110 parts of rice hulls, 180 to 260 parts of coffee grounds, 10 to 20 parts of polypropylene fibers, 2 to 4 parts of dispersing agents, 1 to 2 parts of air entraining agents and 600 to 700 parts of water. An alkali-activated cementing material composed of quicklime, ardealite and slag powder is adopted to replace a traditional cement-based cementing material, coal gangue pottery sand is adopted to replace common sand, and rice husks and coffee grounds are introduced as light filling materials, so that the light low-carbon thermal insulation mortar is successfully prepared and has good thermal insulation performance and mechanical performance, and the thermal insulation performance of the light low-carbon thermal insulation mortar is greatly improved. The carbon emission of buildings can be effectively reduced, and the strategic requirements of green buildings and sustainable development are met.

The invention relates to a multi-source solid waste-based low-carbon geopolymer cementing material as well as a preparation method and application thereof, and belongs to the technical field of geopolymer materials. The multi-source solid waste-based low-carbon geopolymer cementing material is prepared from the following components in parts by weight: 80 to 95 parts of curing base material, 5 to 20 parts of excitation component, 2 to 5 parts of regulation component and 0.5 to 2 parts of nano reinforcing agent. The invention also provides a preparation method and application of the multi-source solid waste-based low-carbon geopolymer cementing material. The multi-source solid waste-based low-carbon geopolymer cementing material prepared by the invention has the advantages of high-value utilization of solid waste resources, excellent mechanical and durability, low-carbon and efficient process and wide application scene, and provides an innovative solution for green building materials and circular economy.

The invention relates to the technical field of artificial intelligence and data processing, in particular to a building energy consumption prediction model training method and equipment, and the method specifically comprises the following steps: obtaining building structure parameters through a building information model, deploying an Internet of Things sensor to collect dynamic data, integrating the data into a building energy consumption database, and carrying out the manual marking of the data; performing space-time alignment on the acquired data, and performing interpolation, noise reduction and normalization operation to obtain a space-time incidence matrix; constructing a building energy consumption prediction model based on a space-time diagram convolutional network, and inputting the space-time incidence matrix into the model for training; and newly collected data are transmitted to the trained model to obtain a classification result of the building energy consumption. According to the invention, the building energy consumption prediction model is trained to realize efficient processing and automatic tuning of the model on data, the accuracy of the prediction result is improved, the repeated development cost is reduced, and the method is suitable for energy management systems in intelligent buildings, green buildings and smart cities.

The invention relates to the technical field related to energy monitoring, in particular to an energy monitoring and adjusting system for a green building, which comprises an energy supply module connected with a central control module and used for performing functions on the building through solar energy, wind energy, geothermal energy and biological energy; the data acquisition module is connected with the central control module and is used for performing data acquisition on the use condition of the energy; the central control module is connected with the energy supply module, the data acquisition module, the energy scheduling module, the cloud service module, the energy analysis module, the energy alarm module and the display module, and is used for scheduling each module to work normally; the energy scheduling module is connected with the central control module and is used for reasonably scheduling and distributing energy supply; according to the invention, on-line monitoring and analysis of the energy consumption condition can be realized through functions of cloud service, remote monitoring and the like, and green and efficient energy utilization of a building can be realized.